check_graylog: split input and cluster metrics
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parent
9f00479dad
commit
5cb9f2a457
159
check_graylog.py
159
check_graylog.py
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@ -35,16 +35,18 @@ def main():
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parser = argparse.ArgumentParser(description='Check Graylog input health')
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parser.add_argument('-u', '--url', required=True, help='The base Graylog URL')
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parser.add_argument('-t', '--token', required=True, help='Graylog API token')
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parser.add_argument('-i', '--input', required=True, help='Input ID to check')
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parser.add_argument('-i', '--input', help='Input ID to check. If unset, will check cluster metrics')
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parser.add_argument('--warn-mem', type=int, default=75, help='Percentage of JVM memory used for warm')
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parser.add_argument('--crit-mem', type=int, default=100, help='Percentage of JVM memory used for critical')
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parser.add_argument('--insecure', action='store_false', help="Don't verify SSL")
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parser.add_argument('--crit-notif', action='store_true', help='Return critical when there are notifications')
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parser.add_argument('--html', action='store_true', help='Print HTML')
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parser.add_argument('--cluster-metrics', action='store_true', help='Also gather cluster metrics and check for notifications.')
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parser.add_argument('--cluster-metrics', action='store_true', help='Also gather cluster metrics and check for notifications')
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args = parser.parse_args()
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base_url = args.url.strip('/')
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if not args.input:
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args.cluster_metrics = True
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if not args.insecure:
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requests.packages.urllib3.disable_warnings(category=InsecureRequestWarning)
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@ -54,9 +56,61 @@ def main():
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'X-Requested-By': 'XMLHttpRequest',
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}
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text_result = ''
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metrics_json = {
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'metrics': [
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'org.graylog2.throughput.input.1-sec-rate',
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'org.graylog2.throughput.output.1-sec-rate',
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"org.graylog2.journal.append.1-sec-rate",
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"org.graylog2.journal.read.1-sec-rate",
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"org.graylog2.journal.segments",
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"org.graylog2.journal.entries-uncommitted",
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"jvm.memory.heap.used",
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"jvm.memory.heap.committed",
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"jvm.memory.heap.max"
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],
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}
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if args.input:
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# Get the basic input metadata
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input_data = transform_inputs(fetch_with_retry(f'{base_url}/api/cluster/inputstates', headers=headers, auth=(args.token, 'token'), verify=args.insecure).json()).get(args.input, {})
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type = input_data['message_input']['type']
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metrics_json['metrics'] = metrics_json['metrics'] + [
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f'{type}.{args.input}.incomingMessages',
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f'{type}.{args.input}.open_connections',
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f'{type}.{args.input}.total_connections',
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f'{type}.{args.input}.written_bytes_1sec',
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f'{type}.{args.input}.written_bytes_total',
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f'{type}.{args.input}.read_bytes_1sec',
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f'{type}.{args.input}.read_bytes_total',
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]
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r = fetch_with_retry(f'{base_url}/api/cluster/metrics/multiple', method='post', headers=headers, auth=(args.token, 'token'),
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verify=args.insecure, json=metrics_json).json()
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input_metrics = r[list(r.keys())[0]]['metrics']
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# Format the metrics for later
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metrics_data = {}
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for metric in input_metrics:
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if args.input:
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name = metric['full_name'].replace(type, '').replace('org.graylog2.', '').replace(args.input, '')
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else:
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name = metric['full_name'].replace('org.graylog2.', '')
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name = name.strip('.').replace('-', '_').replace('.', '_')
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value = None
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if 'value' in metric['metric']:
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value = metric["metric"]["value"]
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elif 'count' in metric['metric']:
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value = metric["metric"]["count"]
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elif 'rate' in metric['metric']:
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value = metric["metric"]["rate"]["one_minute"]
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name = f'{name}_one_minute'
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value = int(value)
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metrics_data[name] = value
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perfdata = {}
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if args.input:
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# Get it over with
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if bool(input_data) and input_data.get('state') == 'RUNNING':
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input_name = input_data["message_input"]["title"]
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@ -73,72 +127,8 @@ def main():
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# If the input is running, continue gathering metrics and other health checks
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input_name_clean = input_name.lower().replace(' ', '_').replace('-', '_')
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# Get metrics for the input
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type = input_data['message_input']['type']
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metrics_json = {
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'metrics': [
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'org.graylog2.throughput.input.1-sec-rate',
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'org.graylog2.throughput.output.1-sec-rate',
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f'{type}.{args.input}.incomingMessages',
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f'{type}.{args.input}.open_connections',
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f'{type}.{args.input}.total_connections',
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f'{type}.{args.input}.written_bytes_1sec',
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f'{type}.{args.input}.written_bytes_total',
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f'{type}.{args.input}.read_bytes_1sec',
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f'{type}.{args.input}.read_bytes_total',
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"org.graylog2.journal.append.1-sec-rate",
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"org.graylog2.journal.read.1-sec-rate",
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"org.graylog2.journal.segments",
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"org.graylog2.journal.entries-uncommitted",
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"jvm.memory.heap.used",
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"jvm.memory.heap.committed",
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"jvm.memory.heap.max"
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],
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}
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r = fetch_with_retry(f'{base_url}/api/cluster/metrics/multiple', method='post', headers=headers, auth=(args.token, 'token'),
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verify=args.insecure, json=metrics_json).json()
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input_metrics = r[list(r.keys())[0]]['metrics']
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# Format the metrics for later
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metrics_data = {}
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for metric in input_metrics:
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name = metric['full_name'].replace(type, '').replace('org.graylog2.', '').replace(args.input, '').strip(
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'.').replace('-', '_').replace('.', '_')
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value = None
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if 'value' in metric['metric']:
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value = metric["metric"]["value"]
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elif 'count' in metric['metric']:
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value = metric["metric"]["count"]
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elif 'rate' in metric['metric']:
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value = metric["metric"]["rate"]["one_minute"]
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name = f'{name}_one_minute'
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value = int(value)
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metrics_data[name] = value
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jvm_mem_usage_warn = int(metrics_data['jvm_memory_heap_max'] / int(100 / args.warn_mem))
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jvm_mem_usage_crit = int(metrics_data['jvm_memory_heap_max'] / int(100 / args.crit_mem))
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# Get traffic data for last 24 hrs
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traffic_last_24_hrs = fetch_with_retry(f'{base_url}/api/system/cluster/traffic?daily=false', headers=headers, auth=(args.token, 'token'), verify=args.insecure).json()
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input_traffic_avg = sum([v for k, v in traffic_last_24_hrs['input'].items() if parse_traffic_ts(k)])
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output_traffic_avg = sum([v for k, v in traffic_last_24_hrs['output'].items() if parse_traffic_ts(k)])
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elastisearch_health = fetch_with_retry(f'{base_url}/api/system/indexer/cluster/health', headers=headers, auth=(args.token, 'token'), verify=args.insecure).json()
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elastisearch_status = elastisearch_health['status'].lower()
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elastisearch_active_shards = elastisearch_health['shards']['active']
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indexer_failures = fetch_with_retry(f'{base_url}/api/system/indexer/failures?limit=10&offset=0', headers=headers, auth=(args.token, 'token'), verify=args.insecure).json()
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# Some metric names are changed for better readability
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perfdata = {
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f'{input_name_clean}_throughput_input_1_sec_rate': {
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'value': int(metrics_data['throughput_input_1_sec_rate']),
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'min': 0,
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},
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f'{input_name_clean}_throughput_output_1_sec_rate': {
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'value': int(metrics_data['throughput_output_1_sec_rate']),
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'min': 0,
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},
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perfdata.update({
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f'{input_name_clean}_incoming_messages_rate_per_sec_one_minute': {
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'value': metrics_data['incomingMessages_one_minute'],
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'min': 0,
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@ -167,10 +157,32 @@ def main():
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'min': 0,
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'unit': 'B',
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}
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}
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})
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if args.cluster_metrics:
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jvm_mem_usage_warn = int(metrics_data['jvm_memory_heap_max'] / int(100 / args.warn_mem))
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jvm_mem_usage_crit = int(metrics_data['jvm_memory_heap_max'] / int(100 / args.crit_mem))
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# Get traffic data for last 24 hrs
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traffic_last_24_hrs = fetch_with_retry(f'{base_url}/api/system/cluster/traffic?daily=false', headers=headers, auth=(args.token, 'token'), verify=args.insecure).json()
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input_traffic_avg = sum([v for k, v in traffic_last_24_hrs['input'].items() if parse_traffic_ts(k)])
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output_traffic_avg = sum([v for k, v in traffic_last_24_hrs['output'].items() if parse_traffic_ts(k)])
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elastisearch_health = fetch_with_retry(f'{base_url}/api/system/indexer/cluster/health', headers=headers, auth=(args.token, 'token'), verify=args.insecure).json()
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elastisearch_status = elastisearch_health['status'].lower()
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elastisearch_active_shards = elastisearch_health['shards']['active']
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indexer_failures = fetch_with_retry(f'{base_url}/api/system/indexer/failures?limit=10&offset=0', headers=headers, auth=(args.token, 'token'), verify=args.insecure).json()
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perfdata.update({
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'throughput_input_1_sec_rate': {
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'value': int(metrics_data['throughput_input_1_sec_rate']),
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'min': 0,
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},
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'throughput_output_1_sec_rate': {
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'value': int(metrics_data['throughput_output_1_sec_rate']),
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'min': 0,
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},
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'entries_uncommitted': {
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'value': metrics_data['journal_entries_uncommitted'],
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'min': 0,
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@ -183,7 +195,7 @@ def main():
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'max': int(metrics_data['jvm_memory_heap_max']),
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'unit': 'B',
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},
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'from_network_traffic_avg': {
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'network_traffic_in_avg': {
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'value': input_traffic_avg,
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'min': 0,
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'unit': 'B',
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@ -246,10 +258,13 @@ def main():
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if args.crit_notif:
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exit_code = nagios.STATE_CRIT # force crit
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text_result = text_result + f' JVM memory usage: {int((perfdata["jvm_memory_used"]["value"] / metrics_data["jvm_memory_heap_max"]) * 100)}%, input incoming rate (events/second for last minute): {perfdata[f"{input_name_clean}_incoming_messages_rate_per_sec_one_minute"]["value"]}, input connections: {perfdata[f"{input_name_clean}_connections"]["value"]}, input total network in: {human_readable_size(perfdata[f"{input_name_clean}_network_in_total"]["value"], decimal_places=0)}' + '\n' + notif_str
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else:
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text_result = text_result + f' {input_name_clean}_incoming_messages_rate_per_sec_one_minute (events/second for last minute): {perfdata[f"{input_name_clean}_incoming_messages_rate_per_sec_one_minute"]["value"]}, {input_name_clean}_connections: {perfdata[f"{input_name_clean}_connections"]["value"]}, {input_name_clean}_network_in_total: {human_readable_size(perfdata[f"{input_name_clean}_network_in_total"]["value"], decimal_places=0)}' + '\n'
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text_result = text_result + f' JVM memory usage: {int((perfdata["jvm_memory_used"]["value"] / metrics_data["jvm_memory_heap_max"]) * 100)}%'
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if args.input:
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text_result = text_result + f' {input_name_clean} events/second for last minute: {perfdata[f"{input_name_clean}_incoming_messages_rate_per_sec_one_minute"]["value"]}, {input_name_clean}_connections: {perfdata[f"{input_name_clean}_connections"]["value"]}, {input_name_clean}_network_in_total: {human_readable_size(perfdata[f"{input_name_clean}_network_in_total"]["value"], decimal_places=0)}'
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exit_code = nagios.STATE_OK
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else:
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text_result = text_result + '\n' + notif_str
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print_icinga2_check_status(text_result, exit_code, perfdata)
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sys.exit(exit_code)
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